Jake Parker
Data Scientist
Washington DC-Baltimore Area United States
Summary
👤
Senior🎓
Top SchoolJake Parker is a data scientist and computer vision engineer with nine years of hands-on experience building ML systems for defense and applied research environments. Currently at Booz Allen Hamilton, he brings a strong background in machine learning engineering from multi-container labeling pipelines and distributed PyTorch training to time-domain signal separation and semi-supervised video annotation. His work blends research-grade adversarial ML experience from GTRI with production-minded skills—Dockerized deployments, DDP, and scalable data pipelines. Trained at Carnegie Mellon in Statistics and Machine Learning with a computer science minor, he pairs theoretical rigor with practical engineering. Notably, he has moved projects from prototype denoising and synthetic data generation to parallelized, deployable workflows, demonstrating an appetite for solving noisy, real-world sensor and audio/visual problems.
9 years of coding experience
4 years of employment as a software developer
BS, Major: Statistics and Machine Learning, Minor: Computer Science, BS, Major: Statistics and Machine Learning, Minor: Computer Science at Carnegie Mellon University
Stackoverflow
1reputation
0reached
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Github Skills (1)
mergesort1
Github contributions (5)
jakeparker/10-701-project
Mar 2018 - Apr 2018
Contributions:37 commits, 15 pushes, 1 branch in 1 month
jakeparker/15-112-project
Jul 2016 - Aug 2019
Contributions:5 pushes in 3 years 1 month
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